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// Copyright 2019 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/optimization_guide/core/prediction_model_fetcher_impl.h"
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include "base/feature_list.h"
#include "base/metrics/histogram_functions.h"
#include "base/metrics/histogram_macros.h"
#include "components/optimization_guide/core/model_util.h"
#include "components/optimization_guide/core/optimization_guide_features.h"
#include "components/optimization_guide/core/optimization_guide_util.h"
#include "components/optimization_guide/proto/models.pb.h"
#include "components/variations/net/variations_http_headers.h"
#include "net/base/load_flags.h"
#include "net/base/url_util.h"
#include "net/http/http_request_headers.h"
#include "net/http/http_response_headers.h"
#include "net/http/http_status_code.h"
#include "net/traffic_annotation/network_traffic_annotation.h"
#include "services/network/public/cpp/resource_request.h"
#include "services/network/public/cpp/shared_url_loader_factory.h"
#include "services/network/public/cpp/simple_url_loader.h"
#include "services/network/public/mojom/url_response_head.mojom.h"
namespace optimization_guide {
PredictionModelFetcherImpl::PredictionModelFetcherImpl(
scoped_refptr<network::SharedURLLoaderFactory> url_loader_factory,
const GURL& optimization_guide_service_get_models_url)
: optimization_guide_service_get_models_url_(
net::AppendOrReplaceQueryParameter(
optimization_guide_service_get_models_url,
"key",
optimization_guide::features::
GetOptimizationGuideServiceAPIKey())),
url_loader_factory_(url_loader_factory) {
CHECK(optimization_guide_service_get_models_url_.SchemeIs(url::kHttpsScheme));
}
PredictionModelFetcherImpl::~PredictionModelFetcherImpl() = default;
bool PredictionModelFetcherImpl::FetchOptimizationGuideServiceModels(
const std::vector<proto::ModelInfo>& models_request_info,
proto::RequestContext request_context,
const std::string& locale,
ModelsFetchedCallback models_fetched_callback) {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
if (url_loader_)
return false;
// If there are no models to request, do not make a GetModelsRequest.
if (models_request_info.empty()) {
std::move(models_fetched_callback).Run(std::nullopt);
return false;
}
pending_models_request_ =
std::make_unique<optimization_guide::proto::GetModelsRequest>();
pending_models_request_->set_request_context(request_context);
pending_models_request_->set_locale(locale);
*pending_models_request_->mutable_origin_info() =
optimization_guide::GetClientOriginInfo();
for (const auto& model_request_info : models_request_info)
*pending_models_request_->add_requested_models() = model_request_info;
std::string serialized_request;
pending_models_request_->SerializeToString(&serialized_request);
net::NetworkTrafficAnnotationTag traffic_annotation =
net::DefineNetworkTrafficAnnotation("optimization_guide_model",
R"(
semantics {
sender: "Optimization Guide"
description:
"Requests the updated set of machine learning models from the "
"Optimization Guide Service that are applicable to the current "
"client version."
trigger:
"Requested at the beginning of each session if there are features "
"enabled by the current client version that require machine "
"learning models."
data: "A list of models supported by the client."
destination: GOOGLE_OWNED_SERVICE
}
policy {
cookies_allowed: NO
setting: "This feature cannot be disabled."
chrome_policy {
ComponentUpdatesEnabled {
policy_options {mode: MANDATORY}
ComponentUpdatesEnabled: false
}
}
})");
auto resource_request = std::make_unique<network::ResourceRequest>();
resource_request->url = optimization_guide_service_get_models_url_;
// POST request for providing the GetModelsRequest proto to the remote
// Optimization Guide Service.
resource_request->method = "POST";
resource_request->credentials_mode = network::mojom::CredentialsMode::kOmit;
url_loader_ = variations::CreateSimpleURLLoaderWithVariationsHeader(
std::move(resource_request),
// This is always InIncognito::kNo as the OptimizationGuideKeyedService is
// not enabled on incognito sessions and is rechecked before each fetch.
variations::InIncognito::kNo, variations::SignedIn::kNo,
traffic_annotation);
url_loader_->AttachStringForUpload(serialized_request,
"application/x-protobuf");
url_loader_->DownloadToStringOfUnboundedSizeUntilCrashAndDie(
url_loader_factory_.get(),
base::BindOnce(&PredictionModelFetcherImpl::OnURLLoadComplete,
base::Unretained(this)));
models_fetched_callback_ = std::move(models_fetched_callback);
return true;
}
void PredictionModelFetcherImpl::HandleResponse(
const std::string& get_models_response_data,
int net_status,
int response_code) {
std::unique_ptr<optimization_guide::proto::GetModelsResponse>
get_models_response =
std::make_unique<optimization_guide::proto::GetModelsResponse>();
if (response_code >= 0 && response_code <= net::HTTP_VERSION_NOT_SUPPORTED) {
UMA_HISTOGRAM_ENUMERATION(
"OptimizationGuide.PredictionModelFetcher."
"GetModelsResponse.Status",
static_cast<net::HttpStatusCode>(response_code),
net::HTTP_VERSION_NOT_SUPPORTED);
}
// Net error codes are negative but histogram enums must be positive.
base::UmaHistogramSparse(
"OptimizationGuide.PredictionModelFetcher."
"GetModelsResponse.NetErrorCode",
-net_status);
for (const auto& model_info : pending_models_request_->requested_models()) {
if (response_code >= 0 &&
response_code <= net::HTTP_VERSION_NOT_SUPPORTED) {
base::UmaHistogramEnumeration(
"OptimizationGuide.PredictionModelFetcher."
"GetModelsResponse.Status." +
optimization_guide::GetStringNameForOptimizationTarget(
model_info.optimization_target()),
static_cast<net::HttpStatusCode>(response_code),
net::HTTP_VERSION_NOT_SUPPORTED);
}
// Net error codes are negative but histogram enums must be positive.
base::UmaHistogramSparse(
"OptimizationGuide.PredictionModelFetcher."
"GetModelsResponse.NetErrorCode." +
optimization_guide::GetStringNameForOptimizationTarget(
model_info.optimization_target()),
-net_status);
}
if (net_status == net::OK && response_code == net::HTTP_OK &&
get_models_response->ParseFromString(get_models_response_data)) {
std::move(models_fetched_callback_).Run(std::move(get_models_response));
} else {
std::move(models_fetched_callback_).Run(std::nullopt);
}
}
void PredictionModelFetcherImpl::OnURLLoadComplete(
std::unique_ptr<std::string> response_body) {
int response_code = -1;
if (url_loader_->ResponseInfo() && url_loader_->ResponseInfo()->headers) {
response_code = url_loader_->ResponseInfo()->headers->response_code();
}
HandleResponse(response_body ? *response_body : "", url_loader_->NetError(),
response_code);
url_loader_.reset();
}
} // namespace optimization_guide
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